how-tolearn-matlab

pammode function in matlab

层次分析系统的算法，我找了很久才找到的，很不错(Analysis System-level algorithms, looking for a long time before I found very good)

大家可以分享 ，一起学习，本程序是泡沫颜色特征提取(very goodvery goodvery goodvery good)

在Windows Server 2012下利用WMI实现iISCSI管理Vhdx磁盘，主要包括的方法有创建虚拟磁盘、创建iSCSI Target、格式化虚拟磁盘、删除虚拟磁盘、删除iSCSI Target(In Windows Server using WMI 2012 under the iISCSI Vhdx disk management, mainly includes the methods to create a virtual disk, create a iSCSI Target, format the virtual disk, delete the virtual disk, delete the iSCSI Target)

Matlab对kalman状态空间模型估计(Matlab on the state space model to estimate kalman)

说明：  一阶海杂波 bragg峰 matlab仿真(ocean clutter)

说明：  计算基本矩阵的matlab例程，可供学习科研时参考(Calculation of the basic matrix matlab routines for scientific study and reference)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

循环周期特征的谱传感技术 频谱感知；匹配滤波器感知；能量感知；合作式感知；(Cycle characteristics of the spectrum sensing technology spectrum sensing perception matched filter energy-aware cooperative perception )

turbo码高码率2/3码率的matlab编码实现，译码方式为log-MAP算法，删除矩阵为[1 1 1 0](achieve high rate of turbo codes)